BA Data Profile

Brought to you by YData

Dataset statistics

Number of variables	14
Number of observations	49281
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.6 MiB
Average record size in memory	120.0 B

Variable types

Numeric	8
Categorical	6

Alerts

`sales_channel` is highly imbalanced (50.4%)	Imbalance
`trip_type` is highly imbalanced (94.3%)	Imbalance
`flight_hour` has 1501 (3.0%) zeros	Zeros

Reproduction

Analysis started	2025-08-07 04:57:22.366574
Analysis finished	2025-08-07 04:57:25.847392
Duration	3.48 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

num_passengers
Real number (ℝ)

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.5901869

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	770.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	4
Maximum	9
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.0165375
Coefficient of variation (CV)	0.63925663
Kurtosis	10.076058
Mean	1.5901869
Median Absolute Deviation (MAD)	0
Skewness	2.6880951
Sum	78366
Variance	1.0333485
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	30879	62.7%
2	12669	25.7%
3	2882	5.8%
4	1767	3.6%
5	544	1.1%
6	281	0.6%
7	107	0.2%
8	88	0.2%
9	64	0.1%

Value	Count	Frequency (%)
1	30879	62.7%
2	12669	25.7%
3	2882	5.8%
4	1767	3.6%
5	544	1.1%
6	281	0.6%
7	107	0.2%
8	88	0.2%
9	64	0.1%

Value	Count	Frequency (%)
9	64	0.1%
8	88	0.2%
7	107	0.2%
6	281	0.6%
5	544	1.1%
4	1767	3.6%
3	2882	5.8%
2	12669	25.7%
1	30879	62.7%

sales_channel
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	770.0 KiB

0	43917
1	5364

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	49281
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	43917	89.1%
1	5364	10.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	43917	89.1%
1	5364	10.9%

Most occurring characters

Value	Count	Frequency (%)
0	43917	89.1%
1	5364	10.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	49281	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	43917	89.1%
1	5364	10.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	49281	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	43917	89.1%
1	5364	10.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	49281	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	43917	89.1%
1	5364	10.9%

trip_type
Categorical

Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	770.0 KiB

2	48779
1	386
0	116

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	49281
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	48779	99.0%
1	386	0.8%
0	116	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	48779	99.0%
1	386	0.8%
0	116	0.2%

Most occurring characters

Value	Count	Frequency (%)
2	48779	99.0%
1	386	0.8%
0	116	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	49281	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	48779	99.0%
1	386	0.8%
0	116	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	49281	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	48779	99.0%
1	386	0.8%
0	116	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	49281	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	48779	99.0%
1	386	0.8%
0	116	0.2%

purchase_lead
Real number (ℝ)

Distinct	470
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	84.723281

Minimum	0
Maximum	867
Zeros	365
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	770.0 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	21
median	51
Q3	115
95-th percentile	287
Maximum	867
Range	867
Interquartile range (IQR)	94

Descriptive statistics

Standard deviation	90.410229
Coefficient of variation (CV)	1.0671238
Kurtosis	2.501577
Mean	84.723281
Median Absolute Deviation (MAD)	37
Skewness	1.6568168
Sum	4175248
Variance	8174.0095
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	681	1.4%
2	666	1.4%
6	649	1.3%
7	636	1.3%
5	611	1.2%
13	604	1.2%
4	597	1.2%
8	591	1.2%
9	587	1.2%
12	582	1.2%
Other values (460)	43077	87.4%

Value	Count	Frequency (%)
0	365	0.7%
1	681	1.4%
2	666	1.4%
3	571	1.2%
4	597	1.2%
5	611	1.2%
6	649	1.3%
7	636	1.3%
8	591	1.2%
9	587	1.2%

Value	Count	Frequency (%)
867	1	< 0.1%
704	1	< 0.1%
641	1	< 0.1%
633	1	< 0.1%
625	1	< 0.1%
614	1	< 0.1%
606	1	< 0.1%
605	1	< 0.1%
584	1	< 0.1%
577	1	< 0.1%

length_of_stay
Real number (ℝ)

Distinct	335
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.053976

Minimum	0
Maximum	778
Zeros	9
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	770.0 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	5
median	17
Q3	28
95-th percentile	84
Maximum	778
Range	778
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	33.832149
Coefficient of variation (CV)	1.4675191
Kurtosis	49.365201
Mean	23.053976
Median Absolute Deviation (MAD)	12
Skewness	5.2964762
Sum	1136123
Variance	1144.6143
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	7611	15.4%
5	7151	14.5%
4	5568	11.3%
3	2798	5.7%
17	1823	3.7%
21	1373	2.8%
18	1335	2.7%
20	1277	2.6%
22	1272	2.6%
19	1241	2.5%
Other values (325)	17832	36.2%

Value	Count	Frequency (%)
0	9	< 0.1%
1	257	0.5%
2	857	1.7%
3	2798	5.7%
4	5568	11.3%
5	7151	14.5%
6	7611	15.4%
17	1823	3.7%
18	1335	2.7%
19	1241	2.5%

Value	Count	Frequency (%)
778	1	< 0.1%
773	1	< 0.1%
610	1	< 0.1%
603	1	< 0.1%
577	1	< 0.1%
573	1	< 0.1%
532	1	< 0.1%
517	1	< 0.1%
513	1	< 0.1%
510	1	< 0.1%

flight_hour
Real number (ℝ)

Zeros

Distinct	24
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.0706763

Minimum	0
Maximum	23
Zeros	1501
Zeros (%)	3.0%
Negative	0
Negative (%)	0.0%
Memory size	770.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	5
median	9
Q3	13
95-th percentile	19
Maximum	23
Range	23
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.413099
Coefficient of variation (CV)	0.59676906
Kurtosis	-0.2998581
Mean	9.0706763
Median Absolute Deviation (MAD)	4
Skewness	0.39814112
Sum	447012
Variance	29.30164
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
8	3125	6.3%
12	3114	6.3%
9	3097	6.3%
7	3080	6.2%
11	3071	6.2%
10	3050	6.2%
13	3046	6.2%
6	3010	6.1%
5	2817	5.7%
4	2786	5.7%
Other values (14)	19085	38.7%

Value	Count	Frequency (%)
0	1501	3.0%
1	2071	4.2%
2	2596	5.3%
3	2616	5.3%
4	2786	5.7%
5	2817	5.7%
6	3010	6.1%
7	3080	6.2%
8	3125	6.3%
9	3097	6.3%

Value	Count	Frequency (%)
23	975	2.0%
22	573	1.2%
21	386	0.8%
20	275	0.6%
19	294	0.6%
18	430	0.9%
17	848	1.7%
16	1536	3.1%
15	2201	4.5%
14	2783	5.6%

flight_day
Real number (ℝ)

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.8136199

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	770.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	5
95-th percentile	7
Maximum	7
Range	6
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.9919129
Coefficient of variation (CV)	0.52231554
Kurtosis	-1.2033931
Mean	3.8136199
Median Absolute Deviation (MAD)	2
Skewness	0.1344121
Sum	187939
Variance	3.9677171
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	7988	16.2%
3	7562	15.3%
2	7558	15.3%
4	7323	14.9%
5	6685	13.6%
7	6442	13.1%
6	5723	11.6%

Value	Count	Frequency (%)
1	7988	16.2%
2	7558	15.3%
3	7562	15.3%
4	7323	14.9%
5	6685	13.6%
6	5723	11.6%
7	6442	13.1%

Value	Count	Frequency (%)
7	6442	13.1%
6	5723	11.6%
5	6685	13.6%
4	7323	14.9%
3	7562	15.3%
2	7558	15.3%
1	7988	16.2%

route
Real number (ℝ)

Distinct	799
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	392.31331

Minimum	0
Maximum	798
Zeros	20
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	770.0 KiB

Quantile statistics

Minimum	0
5-th percentile	6
Q1	203
median	382
Q3	611
95-th percentile	736
Maximum	798
Range	798
Interquartile range (IQR)	408

Descriptive statistics

Standard deviation	227.27043
Coefficient of variation (CV)	0.5793085
Kurtosis	-1.0960119
Mean	392.31331
Median Absolute Deviation (MAD)	200
Skewness	-0.0059546058
Sum	19333592
Variance	51651.849
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	2620	5.3%
717	912	1.9%
633	833	1.7%
436	793	1.6%
287	729	1.5%
438	683	1.4%
293	677	1.4%
300	658	1.3%
291	652	1.3%
639	637	1.3%
Other values (789)	40087	81.3%

Value	Count	Frequency (%)
0	20	< 0.1%
1	1	< 0.1%
2	2	< 0.1%
3	69	0.1%
4	8	< 0.1%
5	7	< 0.1%
6	2620	5.3%
7	6	< 0.1%
8	5	< 0.1%
9	3	< 0.1%

Value	Count	Frequency (%)
798	1	< 0.1%
797	7	< 0.1%
796	2	< 0.1%
795	6	< 0.1%
794	10	< 0.1%
793	2	< 0.1%
792	1	< 0.1%
791	6	< 0.1%
790	25	0.1%
789	2	< 0.1%

booking_origin
Real number (ℝ)

Distinct	104
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.249589

Minimum	0
Maximum	103
Zeros	78
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	770.0 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	4
median	37
Q3	58
95-th percentile	93
Maximum	103
Range	103
Interquartile range (IQR)	54

Descriptive statistics

Standard deviation	32.785767
Coefficient of variation (CV)	0.85715343
Kurtosis	-1.1951302
Mean	38.249589
Median Absolute Deviation (MAD)	33
Skewness	0.42598891
Sum	1884978
Variance	1074.9065
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	17691	35.9%
51	7055	14.3%
85	4502	9.1%
43	3819	7.7%
17	3284	6.7%
37	2317	4.7%
91	2042	4.1%
93	1993	4.0%
36	1258	2.6%
61	1060	2.2%
Other values (94)	4260	8.6%

Value	Count	Frequency (%)
0	78	0.2%
1	1	< 0.1%
2	1	< 0.1%
3	6	< 0.1%
4	17691	35.9%
5	8	< 0.1%
6	5	< 0.1%
7	36	0.1%
8	1	< 0.1%
9	7	< 0.1%

Value	Count	Frequency (%)
103	386	0.8%
102	1	< 0.1%
101	453	0.9%
100	173	0.4%
99	42	0.1%
98	5	< 0.1%
97	9	< 0.1%
96	2	< 0.1%
95	1	< 0.1%
94	2	< 0.1%

wants_extra_baggage
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	770.0 KiB

1	32931
0	16350

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	49281
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	32931	66.8%
0	16350	33.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	32931	66.8%
0	16350	33.2%

Most occurring characters

Value	Count	Frequency (%)
1	32931	66.8%
0	16350	33.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	49281	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	32931	66.8%
0	16350	33.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	49281	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	32931	66.8%
0	16350	33.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	49281	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	32931	66.8%
0	16350	33.2%

wants_preferred_seat
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	770.0 KiB

0	34712
1	14569

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	49281
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	34712	70.4%
1	14569	29.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	34712	70.4%
1	14569	29.6%

Most occurring characters

Value	Count	Frequency (%)
0	34712	70.4%
1	14569	29.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	49281	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	34712	70.4%
1	14569	29.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	49281	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	34712	70.4%
1	14569	29.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	49281	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	34712	70.4%
1	14569	29.6%

wants_in_flight_meals
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	770.0 KiB

0	28256
1	21025

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	49281
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	28256	57.3%
1	21025	42.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	28256	57.3%
1	21025	42.7%

Most occurring characters

Value	Count	Frequency (%)
0	28256	57.3%
1	21025	42.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	49281	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	28256	57.3%
1	21025	42.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	49281	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	28256	57.3%
1	21025	42.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	49281	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	28256	57.3%
1	21025	42.7%

flight_duration
Real number (ℝ)

Distinct	21
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.2799738

Minimum	4.67
Maximum	9.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	770.0 KiB

Quantile statistics

Minimum	4.67
5-th percentile	4.67
Q1	5.62
median	7.57
Q3	8.83
95-th percentile	8.83
Maximum	9.5
Range	4.83
Interquartile range (IQR)	3.21

Descriptive statistics

Standard deviation	1.4963899
Coefficient of variation (CV)	0.2055488
Kurtosis	-1.3725837
Mean	7.2799738
Median Absolute Deviation (MAD)	1.26
Skewness	-0.36211026
Sum	358764.39
Variance	2.2391828
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
8.83	14339	29.1%
8.58	6892	14.0%
5.62	5464	11.1%
6.62	4658	9.5%
7	3314	6.7%
7.57	2785	5.7%
4.67	2699	5.5%
6.42	1708	3.5%
5.33	1506	3.1%
4.75	1246	2.5%
Other values (11)	4670	9.5%

Value	Count	Frequency (%)
4.67	2699	5.5%
4.72	486	1.0%
4.75	1246	2.5%
4.83	145	0.3%
5	237	0.5%
5.07	501	1.0%
5.13	116	0.2%
5.33	1506	3.1%
5.52	664	1.3%
5.62	5464	11.1%

Value	Count	Frequency (%)
9.5	36	0.1%
8.83	14339	29.1%
8.67	787	1.6%
8.58	6892	14.0%
8.15	299	0.6%
7.57	2785	5.7%
7.42	221	0.4%
7	3314	6.7%
6.62	4658	9.5%
6.42	1708	3.5%

booking_complete
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	770.0 KiB

0	41890
1	7391

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	49281
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	41890	85.0%
1	7391	15.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	41890	85.0%
1	7391	15.0%

Most occurring characters

Value	Count	Frequency (%)
0	41890	85.0%
1	7391	15.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	49281	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	41890	85.0%
1	7391	15.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	49281	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	41890	85.0%
1	7391	15.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	49281	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	41890	85.0%
1	7391	15.0%

	booking_complete	booking_origin	flight_day	flight_duration	flight_hour	length_of_stay	num_passengers	purchase_lead	route	sales_channel	trip_type	wants_extra_baggage	wants_in_flight_meals	wants_preferred_seat
booking_complete	1.000	0.259	0.013	0.148	0.047	0.014	0.027	0.025	0.109	0.039	0.028	0.068	0.026	0.050
booking_origin	0.259	1.000	-0.008	-0.254	0.055	-0.256	0.074	0.029	-0.072	0.089	0.037	0.081	0.143	0.114
flight_day	0.013	-0.008	1.000	0.019	0.019	0.005	0.018	0.040	-0.016	0.047	0.002	0.004	0.000	0.017
flight_duration	0.148	-0.254	0.019	1.000	-0.025	0.234	-0.057	0.079	-0.154	0.060	0.033	0.100	0.167	0.121
flight_hour	0.047	0.055	0.019	-0.025	1.000	-0.049	0.025	0.043	-0.012	0.032	0.000	0.026	0.027	0.028
length_of_stay	0.014	-0.256	0.005	0.234	-0.049	1.000	-0.125	0.025	-0.006	0.030	0.000	0.104	0.065	0.032
num_passengers	0.027	0.074	0.018	-0.057	0.025	-0.125	1.000	0.256	-0.058	0.010	0.000	0.133	0.029	0.055
purchase_lead	0.025	0.029	0.040	0.079	0.043	0.025	0.256	1.000	-0.099	0.016	0.007	0.052	0.040	0.020
route	0.109	-0.072	-0.016	-0.154	-0.012	-0.006	-0.058	-0.099	1.000	0.048	0.021	0.095	0.094	0.044
sales_channel	0.039	0.089	0.047	0.060	0.032	0.030	0.010	0.016	0.048	1.000	0.021	0.056	0.026	0.029
trip_type	0.028	0.037	0.002	0.033	0.000	0.000	0.000	0.007	0.021	0.021	1.000	0.013	0.013	0.004
wants_extra_baggage	0.068	0.081	0.004	0.100	0.026	0.104	0.133	0.052	0.095	0.056	0.013	1.000	0.217	0.208
wants_in_flight_meals	0.026	0.143	0.000	0.167	0.027	0.065	0.029	0.040	0.094	0.026	0.013	0.217	1.000	0.315
wants_preferred_seat	0.050	0.114	0.017	0.121	0.028	0.032	0.055	0.020	0.044	0.029	0.004	0.208	0.315	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	num_passengers	sales_channel	trip_type	purchase_lead	length_of_stay	flight_hour	flight_day	booking_origin	wants_extra_baggage	wants_preferred_seat	wants_in_flight_meals	flight_duration
0	2	0	2	262	19	7	6	61	1	0	0	5.52
1	1	0	2	112	20	3	6	61	0	0	0	5.52
2	2	0	2	243	22	17	3	36	1	1	0	5.52
3	1	0	2	96	31	4	6	61	0	0	1	5.52
4	2	0	2	68	22	15	3	36	1	0	1	5.52
5	1	0	2	3	48	20	4	61	1	0	1	5.52
6	3	0	2	201	33	6	4	61	1	0	1	5.52
7	2	0	2	238	19	14	1	36	1	0	1	5.52
8	1	0	2	80	22	4	1	61	0	0	1	5.52
9	1	1	2	378	30	12	7	36	0	0	0	5.52

	num_passengers	trip_type	purchase_lead	length_of_stay	flight_hour	flight_day	route	booking_origin	wants_extra_baggage	wants_preferred_seat	wants_in_flight_meals	flight_duration
49990	1	2	12	6	10	6	720	4	0	0	0	5.62
49991	1	2	8	6	6	1	720	4	0	1	0	5.62
49992	1	2	14	6	12	5	720	4	1	0	0	5.62
49993	1	2	19	6	12	7	720	4	1	0	0	5.62
49994	2	2	25	6	9	7	720	4	0	0	0	5.62
49995	2	2	27	6	9	6	720	4	1	0	1	5.62
49996	1	2	111	6	4	7	720	4	0	0	0	5.62
49997	1	2	24	6	22	6	720	4	0	0	1	5.62
49998	1	2	15	6	11	1	720	4	1	0	1	5.62
49999	1	2	19	6	10	4	720	4	0	1	0	5.62

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)